DocumentCode :
2736632
Title :
A comparative study of moment-based shape descriptors for product image retrieval
Author :
Kejia, Wang ; Honggang, Zhang ; Lunshao, Chai ; Haiying ; Ziliang Ping
Author_Institution :
Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2011
fDate :
21-23 Oct. 2011
Firstpage :
355
Lastpage :
359
Abstract :
This paper presents a comparative study of Zernike moments (ZMs), Jacobi-Fourier moments (JFMs) and Radial-Harmonic-Fourier moments (RHFMs) for product image retrieval. Experiments are carried out on the PI 100 dataset and the retrieval performances of the shape descriptors are evaluated and quantified by the Average Normalized Modified Retrieval Rank (ANMRR). The experimental results show that JFMs and RHFMs present similar better retrieval performance than ZMs in both terms of shape representation quality and the amount of required moments.
Keywords :
Zernike polynomials; image representation; image retrieval; method of moments; ANMRR; JFM; Jacobi-Fourier moments; PI 100 dataset; RHFM; Radial-Harmonic-Fourier moments; ZM; Zernike moments; average normalized modified retrieval rank; moment-based shape descriptors; product image retrieval; required moments; retrieval performances; shape representation quality; Harmonic analysis; Image edge detection; Jacobi-Fourier moments (JFMs); Radial-Harmonic-Fourier moments (RHFMs); Zernike moments (ZMs); image retrieval; shape descriptor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2011 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-61284-879-2
Type :
conf
DOI :
10.1109/IASP.2011.6109062
Filename :
6109062
Link To Document :
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